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Several well-stimulation products and techniques have been seen to benefit well productivity from recent field trials and implementations in carbonate reservoirs, including simpler acid fluid systems, integrated work flows, and coiled-tubing bottomhole assemblies. The fourth industrial revolution is taking the oil and gas business by storm. Many companies have increased resources for big-data analytics and machine learning. Though no one sees physical oilfield services as in decline, development in these areas may take a back seat to artificial intelligence. This paper covers the staged field-development methodology, including analysis and evaluation of various development concepts, that enabled the company to optimize both completion design and artificial-lift selection, reducing downtime and lowering operating costs by nearly 50%.
The same tools that make it fun and easy for you to see a friend's updates online are also pretty good at tying together unconnected databases holding valuable well information. What do 60,000 sensors on 1,200 pieces of equipment add up to? A new event is kicking off in September that will bring together the brightest minds in digital tech and oil and gas. Figuring out the right price for an active oil and gas field is tricky business in the shale sector but one producer explains how it uses data analytics to get a clearer picture.
The provider of subscription-based analytics services for the North American oil and gas sector continues its streak of purchasing data-focused firms. Findings from Kayrros suggest the average Permian well is both less productive and more expensive than reflected in public data. Fed by big data loads from big operators, a university consortium and software firm are each working to make upstream data access as quick and easy as a Google search. Is the Cloud Mature Enough for High-Performance Computing? Data volumes are growing at an exponential rate.
Time-stamped data anomalies can lead to more-accurate identification and faster diagnosis. In partnership with TechnipFMC, DNV GL opened a pilot project for the international collaboration of operators and the supply chain. Many digital twins represent an asset’s initial form and struggle to reflect developments in their physical counterparts as the asset matures. ADNOC will utilize Honeywell’s asset monitoring and predictive analytics platform to improve asset efficiency and integrity across the operator’s upstream and downstream businesses. Developing the facility of the future is a technological and infrastructural challenge, but the people behind the technology play just as critical of a role in actualizing complex, innovative asset designs.
Baker Hughes is still a GE company, but it has partnered with a second company for artificial intelligence expertise, C3.ai. The deal is expected to speed the integration of AI into oilfield operations by the company which also markets GE’s device analytics platform, Predix. An assortment of sustainability initiatives shows how the oil and gas industry, leveraging its reach, diversity, and resources, is going well beyond just supplying energy to impact the world for the better. The firm hopes to remedy the cost-, labor-, and time-intensive process of executing offshore projects through deployment of “Subsea Connect,” which it says can cut project development costs by 30%. The deal would raise nearly $4 billion for GE, which plans to reduce its stake in the oilfield services company from 62.5% to at least 50.1% after the transactions.
For the upstream industry, where improvement in efficiency or production can drive significant financial results, there is no question that the size of the digital prize is huge. Equinor, Microsoft, and Halliburton are among those joining forces. Malaysia’s Petronas, Shell Malaysia, and Thailand’s PTTEP are now in the midst of full-scale digital adoption. The companies are beginning to see results, but none is counting on a “big bang” in development of the technology soon. Some 3,000 people and counting intrigued by UK oil and gas data have signed up for access to the country’s new National Data Repository.
The value of hidden-danger data stored in text can be revealed through an approach that can help sort and interpret information in an ordered way not used previously in safety management. A recently launched joint industry project (JIP) is working to improve petrophysical analysis methods to reduce the time and expense of characterizing tight sandstone gas reservoirs for exploration, appraisal, and production. Failure to prioritize objectives and improper selection of candidate wells can have significant implications for both derived value and potential risk. Data mining for production optimization in unconventional reservoirs brings together data from multiple sources with varying levels of aggregation, detail, and quality. A data-driven approach to successfully analyze and evaluate production-fluid impact during facility system divert events is presented.
Mozambique has an enormous energy potential, which provides the country with favorable means to fulfill its domestic and regional energy needs for southern Africa and beyond. The latest discoveries of natural gas puts Mozambique in a very privileged position both in the region and in the world. Known for its diverse heritage and rich traditions, the Indian state of Gujarat is also a hub for modern development. It is the first state in India to set up its own gas transmission line and has the world’s largest refinery. Cote d’Ivoire has tremendous potential in its energy sector.
Extreme downhole conditions may lead to rapid degradation of pumped cement. The understanding of degradation of cement under such conditions is imperative to bring about improvements in the cement formulation. Scaling buildup inside wellbores is a serious production problem that dramatically reduces the well productivity index. This issue has a significant cost across the industry, mostly associated with loss of production or additional operations such as well intervention. The main goal of production logging is to evaluate the well or reservoir performance.
The complete paper demonstrates the benefits of honoring data measurements from a multitude of potential sources to help engineers do a better job of including more diagnostics into routine operations to provide additional insight and result in improved models and completion designs. This paper updates a previous case study and presents the results of actual implementation of an optimized steam-injection plan based on the model framework. By measuring which tests best predicted the fractures observed at the Hydraulic Fracturing Test Site, Laredo Petroleum developed a method it hopes will improve fracture modeling in other places. In the complete paper, a new, fully coupled implicit tool was used to model an onshore Omani asset with multiple reservoirs, each featuring different fluids and multiple networks. The complete paper aims at a better understanding of the effect of channel content in complex fluvial channel systems on well-test-derivative responses.